Comparison of ERG Denoising Performance according to Mother Function of Wavelet Transforms
نویسندگان
چکیده
منابع مشابه
a comparison of teachers and supervisors, with respect to teacher efficacy and reflection
supervisors play an undeniable role in training teachers, before starting their professional experience by preparing them, at the initial years of their teaching by checking their work within the proper framework, and later on during their teaching by assessing their progress. but surprisingly, exploring their attributes, professional demands, and qualifications has remained a neglected theme i...
15 صفحه اولParallel Performance of Fast Wavelet Transforms
We present a parallel 2D wavelet transform algorithm with modest communication requirements. Data are transmitted between nearest neighbors only and the amount is independent of the problem size as well as the number of processors. An analysis of the theoretical performance shows that the algorithm is scalable approaching perfect speedup as the problem size is increased. This performance is rea...
متن کاملAdaptive Wavelet Transforms with Application in Signal Denoising
This papers gives an overview of wavelet transforms application to signal denoising problem. Wavelets perform well for this application and have been used before with great success. To further improve the transform efficiency adaptivity is introduced to traditional wavelet transforms. The lifting framework as a method to construct wavelets facilitates the effort to develop efficient adaptation ...
متن کاملSmoothness estimates for soft - threshold denoising via translationinvariant wavelet transforms
In this paper we study a generalization of the Donoho-Johnstone denoising model for the case of the translation invariant wavelet transform. Instead of soft-thresholding coeecients of the classical orthogonal discrete wavelet transform, we study soft-thresholding of the co-eecients of the translation invariant discrete wavelet transform. This latter transform is not an orthogonal transformation...
متن کاملDenoising Method based on Wavelet Transforms: A Review
There is a wide scope in noise removal from image. It a fundamental and crucial importance in the field of image processing. Because of multi resonate structure Wavelets give a good performance in image denoising. It is also good because of sparsity property. Several researchers considered blur and the basic noise for finding the noise parameter. It is Gaussian smoothing model or in anisotropic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Korean Clinical Health Science
سال: 2016
ISSN: 2288-3193
DOI: 10.15205/kschs.2016.12.31.756